Multilevel modelling is a data analysis method that is frequently used to investigate hierarchal data structures in educational, behavioural, health, and social sciences disciplines. Multilevel data analysis exploits data structures that cannot be adequately investigated using single-level analytic methods such as multiple regression, path analysis, and structural modelling. This text offers a comprehensive treatment of multilevel models for univariate and multivariate outcomes. It explores their similarities and differences and demonstrates why one model may be more appropriate than another, given the research objectives.
New to this edition:
This is an ideal text for graduate courses on multilevel, longitudinal, latent variable modelling, multivariate statistics, or advanced quantitative techniques taught in psychology, business, education, health, and sociology. Recommended prerequisites are introductory univariate and multivariate statistics.
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Ronald H. Heck is Professor of Education at the University of Hawai‘i at Mānoa. His areas of interest include organizational theory, policy, and quantitative research methods.
Scott L. Thomas is Professor and Dean of the College of Education and Social Services, University of Vermont. His specialties include sociology of education, policy, and quantitative research methods
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Hardback. Condizione: New. Authored by Ronald H. Heck and Scott L. Thomas, this volume in the Quantitative Methodology Series presents methods for analyzing nested and hierarchical data commonly encountered in education, health, behavioral, and social science research. The authors examine how multilevel approaches address questions that conventional single-level techniques such as ordinary regression, path analysis, and structural equation modeling cannot adequately handle. Coverage extends across both univariate and multivariate outcomes, with attention to model specification, estimation, and interpretation. The fourth edition incorporates updated software illustrations and expanded discussion of longitudinal and cross-classified designs. Codice articolo OA-260223-shelf-1-012
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Einband - fest (Hardcover). Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Ronald H. Heck is Professor of Education at the University of Hawai`i at Manoa. His areas of interest include organizational theory, policy, and quantitative research methods.Scott L. Thomas is Professor and Dean of the College of. Codice articolo 594564066
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